Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review

Missing Value Imputation Designs and Methods of Nature-Inspired Metaheuristic Techniques: A Systematic Review

Missing values are highly undesirable in real-world datasets. The missing values should be estimated and treated during the preprocessing stage. With the expansion of nature-inspired metaheuristic techniques, interest in missing value imputation (MVI) has increased. The main goal of this literature...

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Bibliographic Details
Main Authors: Po Chan Chiu, Ali Selamat, Ondrej Krejcar, King Kuok Kuok, Siti Dianah Abdul Bujang, Hamido Fujita
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Missing value
missing data
imputation
incomplete dataset
metaheuristic
systematic review
Online Access:https://ieeexplore.ieee.org/document/9771309/

Internet

https://ieeexplore.ieee.org/document/9771309/

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